Time series analysis, modeling and applications : a computational intelligence perspective /

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Bibliographic Details
Imprint:Heidelberg ; New York : Springer, c2013.
Description:1 online resource.
Language:English
Series:Intelligent systems reference library ; 47
Intelligent Systems Reference Library ; 47.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/9848963
Hidden Bibliographic Details
Other authors / contributors:Pedrycz, Witold, 1953-
Chen, Shyi-Ming.
ISBN:9783642334399 (electronic bk.)
3642334393 (electronic bk.)
9783642334382
Notes:Includes indexes.
Description based on print version record.
Summary:Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable).The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.
Other form:Print version: Time series analysis, modeling and applications. [S.l.] : Springer, 2012 3642334385
Table of Contents:
  • The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting / José Luis Aznarte, José Manuel Benítez
  • Incomplete Time Series: Imputation through Genetic Algorithms / Juan Carlos Figueroa-García, Dusko Kalenatic
  • Intelligent Aggregation and Time Series Smoothing / Ronald R. Yager
  • Financial Fuzzy Time Series Models Based on Ordered Fuzzy Numbers / Adam Marszałek, Tadeusz Burczyński
  • Stochastic-Fuzzy Knowledge-Based Approach to Temporal Data Modeling / Anna Walaszek-Babiszewska, Katarzyna Rudnik
  • A Novel Choquet Integral Composition Forecasting Model for Time Series Data Based on Completed Extensional L-Measure / Hsiang-Chuan Liu
  • An Application of Enhanced Knowledge Models to Fuzzy Time Series / Chung-Ming Own
  • A Wavelet Transform Approach to Chaotic Short-Term Forecasting / Yoshiyuki Matsumoto, Junzo Watada
  • Fuzzy Forecasting with Fractal Analysis for the Time Series of Environmental Pollution / Wang-Kun Chen, Ping Wang
  • Support Vector Regression with Kernel Mahalanobis Measure for Financial Forecast / James N. K. Liu, Yan-xing Hu
  • Neural Networks and Wavelet De-Noising for Stock Trading and Prediction / Lipo Wang, Shekhar Gupta
  • Channel and Class Dependent Time-Series Embedding Using Partial Mutual Information Improves Sensorimotor Rhythm Based Brain-Computer Interfaces / Damien Coyle
  • How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies / Christian Servin, Martine Ceberio
  • Building a Rough Sets-Based Prediction Model of Tick-Wise Stock Price Fluctuations / Yoshiyuki Matsumoto, Junzo Watada
  • A Best-Match Forecasting Model for High-Order Fuzzy Time Series / Yi-Chung Cheng, Sheng-Tun Li
  • Building Fuzzy Autocorrelation Model and Its Application to the Analysis of Stock Price Time-Series Data / Yoshiyuki Yabuuchi, Junzo Watada
  • Predicting Hourly Ozone Concentration Time Series in Dali Area of Taichung City Based on Seven Types of GM (1, 1) Model / Tzu-Yi Pai, Su-Hwa Lin, Pei-Yu Yang
  • Nonlinear Time Series Prediction of Atmospheric Visibility in Shanghai / Jian Yao, Wei Liu.